109 research outputs found

    ์‚ฐ๋ถˆํ”ผํ•ด๊ฐ€ ์‚ฐ๋ฆผ ๋ฐ ๊ด€๊ด‘์‚ฐ์—…์— ๋ฏธ์น˜๋Š” ์ง€์—ญ๊ฒฝ์ œํšจ๊ณผ ๋ถ„์„

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ๋†์—…์ƒ๋ช…๊ณผํ•™๋Œ€ํ•™ ๋†๊ฒฝ์ œ์‚ฌํšŒํ•™๋ถ€, 2018. 2. ๊น€์˜์ค€.The purpose of this dissertation is to develop an analytical framework for estimating regional indirect impacts of wildfire damage on forest and tourism industry. The methodology was composed of Inter Regional Computable General Equilibrium (IRCGE) model, wildfire damage model, transportation demand model, and tourism expenditure model. The IRCGE model is described two macro regions under the neoclassical economic theory, which established with social accounting matrix in 2013 base year. The wildfire damage area model estimated burnt areas considering high uncertainty based on data of temperature, wind speed, humidity from the Ministration of Korea Meteorology and wildfire statistics, forest type, slope features by spatial unit from Korea Forest Service. The transportation demand model considered the efficiency of road accessibility between zones of the road network of Korea. Lastly, tourism expenditure model is estimated by reduction of tourism spending as increasing transportation cost caused by the wildfire. The estimated burnt area in the wildfire damage area model affected to the production loss, decline in final demand of forest products, increase of transportation expenses, and the decrease of tourism expenditure in the destination. In order to examine the validity of the developed IRCGE, a simulation on the Goseong wildfire was conducted for Gangwon province considering Intergovernmental Panel on Climate Change (IPCC)s prospects for climate changes, the emission scenario of the Representative Concentration Pathways(RCP8.5). There is a suitable place to analyze the indirect impact on forest and tourism industry because it is a typical tourist destination and mountains covered more than 80% of the total area of the province. Markov Chain Monte Carlo method was adopted to estimate ranged burnt areas considering the high uncertainty of climate and topography due to the nature of wildfire, the change of transportation accessibility, and the loss of tourism expenditure. The economic effects of Goseong wildfire were analyzed by using the experiment of the wildfires damage under the cases of without or with climate change. Gross Domestic Product (GDP) in Korea due to the wildfire damage decreased by -0.01% under the without climate change, -0.04% when considering climate change. The Gross Regional Product (GRP) of the Gangwon Province decreased from -0.25% to -0.55% (-0.069 ~ -0.153 billion US)duetoGoseongwildfireunderthenoclimatechangeandfromโˆ’0.51) due to Goseong wildfire under the no climate change and from -0.51% to -1.33% (-0.143~-0.344 billion US) under the climate change (RCP 8.5). The value added of industrial changes in Gangwon province decreased from -12.10% to -17.43% in forest sector and from -0.71 to 0.85% in tourism sector due to the fire damage. The value added losses of the industry under the climate change will be about 1.5 to 2.2 times larger than the scenario without climate change. On the other hand, GRP in the rest of Korea (ROK) enjoyed reflex benefits from 0.027~0.06 billion USduetothewildfiredamageinGangwonProvince,andvalueaddedchangedwithintherangeofโˆ’0.191ย 0.182billionUS due to the wildfire damage in Gangwon Province, and value added changed within the range of -0.191 ~ 0.182 billion US in ROK under the climate change scenario. This dissertation developed a framework for estimating economic effects with considering the climate change applicable to other natural or manmade disasters. The developed framework was applied to wildfire damage and confirmed its usefulness. The results of the analysis can be used as a basis for establishing the government budget for disaster prevention and magnitude of the subsidy considering prioritized monetary losses by each industry. In addition, it can be used to calculate the insurance premium for damage compensation. In the further research, it can be extended to develop a quarterly model to improve the accuracy of the economic estimates or dynamic model to consider the long-term recovery depending on the magnitude of the disaster. With regard to the policy, it need to be increasing the scale of the disaster prevention budget in response to the economic losses, providing a detour plan to improve transportation accessibility to damaged regions, and aggressive tourism marketing policy to promote tourist destinations.Chapter 1. Introduction 1 1.1. Research Background and Purpose 1 1.2. Organization 6 Chapter 2. Literature Review 7 2.1. Definition and Typology of Disaster 7 2.2. Economic Impact of Disasters on the Economy 13 2.3. Economic Impact of Disasters on Tourism Industry 38 2.4. Implication of literature review 44 Chapter 3. Methodology 47 3.1. Overview of Analytic Framework 47 3.2. Computable General Equilibrium (CGE) Model 51 3.3. Wildfire Damage Area Model 85 3.4. Transportation Demand Model 103 3.5. Tourism Expenditure Model 108 Chapter 4. Simulaiton 119 4.1. Overview of Simulation 119 4.2. Result of Impact Analysis by Wildfires 123 Chapter 5. Conclusions 129 5.1. Summary 129 5.2. Further Research 132 Biblography 135 ๊ตญ๋ฌธ์ดˆ๋ก 155Docto

    ํ™ฉ์ƒˆ๋ฅผ ํ™œ์šฉํ•œ ์นœํ™˜๊ฒฝ ๋ธŒ๋žœ๋“œ ๋””์ž์ธ ๊ฐœ๋ฐœ ์šฉ์—ญ

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    ์˜ˆ์‚ฐ๊ตฐ ํ™ฉ์ƒˆ๋ธŒ๋žœ๋“œ ์—ฐ๊ตฌ ๊ธฐ๊ด€ ๋ฐ ์—ฐ๊ตฌ์ง„ โ—์—ฐ๊ตฌ์˜๋ขฐ๊ธฐ๊ด€ ์˜ˆ์‚ฐ๊ตฐ โ—์—ฐ๊ตฌ์ˆ˜ํ–‰๊ธฐ๊ด€ ์ถฉ๋‚จ๋ฐœ์ „์—ฐ๊ตฌ์› ๊ณต๊ณต๋””์ž์ธ์„ผํ„ฐ โ—์—ฐ๊ตฌ๊ธฐ๊ด€ 2010.7.2~2010.12.28 โ—์—ฐ๊ตฌ์ฑ…์ž„ ๊ถŒ์˜ํ˜„(์ถฉ๋‚จ๋ฐœ์ „์—ฐ๊ตฌ์› ๊ณต๊ณต๋””์ž์ธ์„ผํ„ฐ/์—ฐ๊ตฌ์œ„์›) โ—์—ฐ๊ตฌ์ง„ ์ด์ถฉํ›ˆ(์ถฉ๋‚จ๋ฐœ์ „์—ฐ๊ตฌ์› ๊ณต๊ณต๋””์ž์ธ์„ผํ„ฐ/์—ฐ๊ตฌ์œ„์›) ์œ ํ•™๋ ฌ(์ถฉ๋‚จ๋ฐœ์ „์—ฐ๊ตฌ์› ๊ณต๊ฐ„๊ณ„ํš์—ฐ๊ตฌ๋ถ€/์—ฐ๊ตฌ์œ„์›) ์ •์˜ฅ์‹(์ถฉ๋‚จ๋ฐœ์ „์—ฐ๊ตฌ์› ํ™˜๊ฒฝ์ƒํƒœ์—ฐ๊ตฌ๋ถ€/์ฑ…์ž„์—ฐ๊ตฌ์›) ๊น€ํ˜ธ์—ฐ(์ถฉ๋‚จ๋ฐœ์ „์—ฐ๊ตฌ์› ๊ณต๊ณต๋””์ž์ธ์„ผํ„ฐ/์ดˆ๋น™์—ฐ๊ตฌ์›) โ—์™ธ๋ถ€์—ฐ๊ตฌ์ง„ ์‚ฌํฌ๋ฏผ(ํ•œ๋‚จ๋Œ€ํ•™๊ต ๋””์ž์ธ๊ณผ ๊ต์ˆ˜) - ์ดํ›„ ์ƒ๋žต- ๊ธฐ๋ณธํŽธ - ์‘์šฉ

    ์ถฉ๋‚จ ๋†์‚ฐ์–ด์ดŒ ํ๊ต์˜ ์‹คํƒœ์™€ ํ™œ์šฉ์„ฑ ์ œ๊ณ  ๋ฐฉ์•ˆ

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    ์—ฐ๊ตฌ์š”์•ฝ ๋†์–ด์ดŒ์ง€์—ญ์˜ ํ๊ต ์ฆ๊ฐ€์— ๋”ฐ๋ผ ํ๊ต์˜ ์œ ํ˜• ๋ฐ ์ง€์—ญ ์—ฌ๊ฑด์— ๋”ฐ๋ผ ์ฒ˜๋ฆฌ๋ฐฉ์‹์ด ๋‹ค์–‘ํ•˜๊ฒŒ ์ด๋ฃจ์–ด์ง€๊ณ  ์žˆ๋‹ค. ํ๊ต์ž์›์˜ ํ™œ์šฉ ๋ฐ ์ฒ˜๋ฆฌ ๋ฐฉ์‹์— ๋”ฐ๋ผ ์šด์˜์‚ฌ์—…์˜ ์œ ํ˜•, ์‚ฌ์—…์˜ ํˆฌ์ž์™€ ์ง‘์ค‘๋„์˜ ์ฐจ์ด๋Š” ๋ฌผ๋ก  ์ง€์—ญ ์ •์ฒด์„ฑ์˜ ์—ฐ์†, ์ง€์—ญ์— ๊ธฐ์—ฌ ๋“ฑ์—์„œ ๋ฐฉํ–ฅ์ด ๋‹ฌ๋ผ์ง€๊ธฐ ๋•Œ๋ฌธ์— ์‹ ์ค‘ํ•œ ํŒ๋‹จ์ด ์š”๊ตฌ๋˜๊ณ  ์žˆ๋‹ค. ๋˜ํ•œ ํ๊ต ํ™œ์šฉ ๋ฐ ์šด์˜ ์‹คํƒœ๋ฅผ ์‚ดํŽด๋ณด๋ฉด ์ˆ˜์ต์„ ์ฐฝ์ถœํ•ด๋‚ด๋Š” ์ƒ์‚ฐ์œ ๋ฐœ์ ๊ตฌ์กฐ๊ฐ€ ์•„๋‹Œ ์ •๋ถ€ ์ง€์›๊ธˆ ๋˜๋Š” ์ง€์ž์ฒด์˜ ํ˜œํƒ์— ์˜์กดํ•˜์—ฌ ์šด์˜ํ•˜๋Š” ํ–‰ํƒœ๊ฐ€ ๋Œ€๋ถ€๋ถ„์œผ๋กœ ํ๊ต์ž์‚ฐ์˜ ์šด์˜์— ์žˆ์–ด ์ „๋ฌธ์ ์ธ ๊ฒฝ์˜์—ญ๋Ÿ‰๊ณผ ์‚ฌ์—…์ด ์•ˆ์ •์ ์œผ๋กœ ์ •์ฐฉ๋˜๊ธฐ๊นŒ์ง€ ์ง€๋ฐฉ๊ต์œก์ž์น˜๋‹จ์ฒด๋‚˜ ์ง€๋ฐฉ์ž์น˜๋‹จ์ฒด์˜ ์ ๊ทน์ ์ธ ์ฐธ์—ฌ์™€ ํ˜‘์กฐ๊ฐ€ ์š”๊ตฌ๋˜๊ณ  ์žˆ๋‹ค. ์ด๋Ÿฌํ•œ ํ˜„์‹ค์—์„œ ํ๊ต์ž์›์˜ ํ™œ์šฉ ๋ฐ ์šด์˜์— ์ง€์—ญ๊ณผ ์ง€์—ญ๋ฏผ์ด ์—ฐ๊ณ„ํ•˜์—ฌ ์ง€์†์ ์œผ๋กœ ์ง€์—ญ ์ปค๋ฎค๋‹ˆํ‹ฐ ๊ณต๊ฐ„์œผ๋กœ ํ™œ์šฉ๋˜์–ด์ง€๊ณ  ์ง€์—ญ ๋ฌธํ™”์˜ ๊ณ„์Šน ํ–ฅ์œ ์˜ ๊ธฐํšŒ๋ฅผ ์ œ๊ณตํ•˜๋ฉฐ, ์ง€์—ญ๋ฏผ์—๊ฒŒ ์‹ค์งˆ์ ์ธ ์†Œ๋“๊ธฐ๋ฐ˜์œผ๋กœ์„œ ๊ธฐ๋Šฅํ•˜๊ธฐ ์œ„ํ•ด์„œ ๋ณธ ์—ฐ๊ตฌ๋Š” ๋‹ค์Œ๊ณผ ๊ฐ™์€ ๋ชฉ์ ์„ ๊ฐ–๊ณ  ์žˆ๋‹ค. - ์ดํ›„ ์ƒ๋žต์ œ1์žฅ ์„œ ๋ก  1 1. ์—ฐ๊ตฌ ๋ฐฐ๊ฒฝ ๋ฐ ๋ชฉ์  1 2. ์—ฐ๊ตฌ ๋ฒ”์œ„ ๋ฐ ๋ฐฉ๋ฒ• 4 ์ œ2์žฅ ํ๊ตํ™œ์šฉ ๊ด€๋ จ ์ด๋ก ๊ณ ์ฐฐ๊ณผ ์‚ฌ๋ก€ 8 1. ์„ ํ–‰์—ฐ๊ตฌ 8 2. ํ๊ต์žฌ์‚ฐํ™œ์šฉ ๊ด€๋ จ ์ œ๋„ 11 3. ํ๊ตํ™œ์šฉ์˜ ๊ตญ๋‚ด์™ธ ์‚ฌ๋ก€ 41 ์ œ3์žฅ ํ๊ต์˜ ํ™œ์šฉยท์šด์˜์‹คํƒœ ๋ถ„์„ ๋ฐ ๊ณผ์ œ๋„์ถœ 69 1. ๋ถ„์„์˜ ํ‹€ 69 2. ํ๊ต์˜ ์ง€๋ฆฌ์  ํŠน์„ฑ์— ๋”ฐ๋ฅธ ํ๊ต ์œ ํ˜• ๊ตฌ๋ถ„ 71 3. ์ถฉ๋‚จ์˜ ํ๊ต ํ™œ์šฉ ํ˜„ํ™ฉ 78 4. ํ๊ต์šด์˜์ž ์„ค๋ฌธ์กฐ์‚ฌ ๋ฐ ์ธํ„ฐ๋ทฐ ๊ฒฐ๊ณผ๋ถ„์„ 108 5. ํ๊ตํ™œ์šฉ์˜ ๊ณผ์ œ๋„์ถœ 125 ์ œ4์žฅ ํ๊ต์˜ ํ™œ์šฉ์„ฑ ์ œ๊ณ  ๋ฐฉ์•ˆ 128 1. ํ๊ตํ™œ์šฉ๋ฐฉ์•ˆ์˜ ์ ‘๊ทผ ํ‹€ 128 2. ํ๊ตํ™œ์šฉ์˜ ๊ธฐ๋ณธ๋ฐฉํ–ฅ 129 3. ํ๊ตํ™œ์šฉ์„ ์œ„ํ•œ ์ •์ฑ…์ถ”์ง„๋ฐฉ์•ˆ 141 4. ์„ธ๋ถ€์ถ”์ง„๊ณ„ํš 143 ์ œ5์žฅ ๊ฒฐ๋ก  ๋ฐ ์ •์ฑ… ์ œ์–ธ 150 1. ์š”์•ฝ ๋ฐ ์ •์ฑ…์ œ์–ธ 150 1) ์š”์•ฝ ๋ฐ ์ข…ํ•ฉ์ •๋ฆฌ 150 2) ์ •์ฑ…์ œ์–ธ 160 2. ์—ฐ๊ตฌ์˜ ํ•œ๊ณ„ 166 ๊ต์œก์ฒญ์˜ ํ๊ต์—…๋ฌด ํ”„๋กœ์„ธ์„œ 168 ์„ค๋ฌธ์ง€ 18

    ๊ณ„๋ฐฑ์žฅ๊ตฐ ๋™์ƒ ๋ฐ˜ํ™˜ ํƒ€๋‹น์„ฑ ๋ฐ ํšจ๊ณผ๋ถ„์„

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